Purpose: The goals of this study are to elucidate dowstream effects of lnc RNA, Neat1 deletion in cerebral frontal cortex of adult mice by comparing Next-generation sequencing -derived cortical transcriptome profiles (RNA-seq) between wild type and Neat1 knockout mice. Methods: Brain mRNA profiles of 2-4 moths-old wild-type (WT) and lnc RNA, Neat1 knockout (Neat1-/-) mice were generated by deep sequencing, using Illumina. Reads were mapped to mm10 reference genome using TopHat (version 2.0.9) and Bowtie (version 2.1.0), with the default parameters. Known iGenomes Ensembl mm10 were quantified by HTSeq (version 0.6.0) in intersection-strict mode. A sample-by-gene read count matrix was generated for all samples by the Ensembl genes. Scaling normalization to remove composition biases in sequencing data was applied to log(CPM) (read Counts Per Million total reads) using the trimmed mean of M-values (TMM) method. Results: RNA-seq showed near-complete depletion of Neat1 RNA levels. 1359 genes were differentially expressed in the frontal cortex of Neat1-/- mice. 25 of these differentially expressed genes withstood multiple testing corrections. Examination of RNA-seq data by principle component analysis showed two principle components that were mutually uncorrelated and orthogonal. Hierarchical cluster tree analysis showed that joined nodes from Neat1-/- samples were distanced from control subset cluster confirming the results of the PCA. Conclusions: Analyses of differentially expressed gene signature from NEAT1-/- mice revealed a significant impact on processes related to oligodendrocyte differentiation and RNA post-transcriptional modification with the underlying mechanisms involving Wnt signaling, cell contact interactions, and regulation of cholesterol/lipid metabolism. Overall design: Cerebral frontal cortex mRNA profiles of 2-4 months old wild type (WT) and Neat1 -/- mice (all females) were generated by deep sequencing (N=5 controls; N=4 Neat1 knockout).
The expression of long noncoding RNA NEAT1 is reduced in schizophrenia and modulates oligodendrocytes transcription.
Sex, Age, Specimen part, Cell line, Subject
View SamplesIMR-32 cells were subjected to lentiviral YRNA infection or nELAVL RNAi and/or UV stress followed by RNAseq analysis to monitor RNA level changes Overall design: RNA from IMR-32 cells was Trizol extracted, Ribominus selected and submitted for high-throughput sequencing.
Regulatory consequences of neuronal ELAV-like protein binding to coding and non-coding RNAs in human brain.
No sample metadata fields
View SamplesLayer II stellate neurons (entorhinal cortex) and layer III cortical neurons (hippocampus CA1, middle temporal gyrus, posterior cingulate, superior frontal gyrus, primary visual cortex) were gene expression profiled. Brain regions are from non-demented individuals with intermediate Alzheimer's disease neuropathologies
Multiscale Analysis of Independent Alzheimer's Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus.
No sample metadata fields
View SamplesAlzheimer's disease (AD) is the most common form of dementia, characterized by progressive cognitive impairment and neurodegeneration as a result of abnormal neuronal loss. To elucidate the molecular systems associated with AD, we characterized the gene expression changes associated with multiple clinical and neuropathological traits in 1,053 postmortem brain samples across 19 brain regions from 125 persons dying with varying severities of dementia and variable AD-neuropathology severities.
Integrative network analysis of nineteen brain regions identifies molecular signatures and networks underlying selective regional vulnerability to Alzheimer's disease.
Sex, Age, Specimen part, Race, Subject
View SamplesOligodendrocytes (OLs) and myelin are critical for normal brain function and they have been implicated in neurodegeneration. Human neuroimaging studies have demonstrated that alterations in axons and myelin occur early in Alzheimer's Disease (AD) course. However, the molecular mechanism underlying the role of OLs in AD remains largely unknown. In this study, we systematically interrogated OL-enriched gene networks constructed from large-scale genomic, transcriptomic, and proteomic data in human AD postmortem brain samples. These robust OL networks were highly enriched for genes associated with AD risk variants, including BIN1. We corroborated the structure of the AD OL coexpression and gene-gene interaction networks through ablation of genes identified as key drivers of the networks, including UGT8, CNP, MYRF, PLP1, NPC1, and NDGR1. Perturbations of these key drivers not only caused dysregulation in their associated network neighborhoods, but also mimicked pathways of gene expression dysregulation seen in human AD postmortem brain samples. In particular, the OL subnetwork controlled by the AD risk gene PSEN1 was strongly dysregulated in AD, suggesting a potential role of PSEN1 in disrupting the myelination pathway towards the onset of AD. In summary, this study built and systematically validated the first comprehensive molecular blueprint of OL dysregulation in AD, and identified key OL- and myelination-related genes and networks as potential candidate targets for the future development of AD therapies. Overall design: The mouse knockout models have been previously described for each of Ugt8 (Coetzee et al., 1996), Cnp (Lappe-Siefke et al., 2003), and Plp1 (Klugmann et al., 1997). For each of the two conditions studied (control and homozygous knockout mice), five mice of either sex were sacrificed at postnatal day 20 and brains were flashed-frozen until analysis. The frontal cortex (FC) and cerebellum (CBM) were dissected out and individually processed. RNA was isolated using Trizol reagent and processed using Ribo-Zero rRNA removal. RNA-sequencing was performed using the Illumina HiSeq2000 with 100 nucleotide paired-end reads. RNA-sequencing reads were mapped to the mouse genome (mm10, UCSC assembly) using Bowtie (version 2.2.3.0), TopHat (version 2.0.11), and SamTools (version 0.1.19.0) using a read length of 100. Reads were converted to counts at the gene level using HTSeq on the BAM files from TopHat2 using the UCSC known genes data set.
Multiscale network modeling of oligodendrocytes reveals molecular components of myelin dysregulation in Alzheimer's disease.
Specimen part, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Chromatinized protein kinase C-θ directly regulates inducible genes in epithelial to mesenchymal transition and breast cancer stem cells.
Cell line, Treatment
View SamplesEpithelial to mesenchymal transition (EMT) is activated during cancer invasion and metastasis, enriches for cancer stem cells (CSCs), and contributes to therapeutic resistance and disease recurrence. The epithelial cell line MCF7, can be induced to undergo EMT with the induction of PKC by PMA. 5-10% of the resulting cells have a CSC phenotype. This study looks at the transcriptome of these cells and how it differs from cells with a non-CSC phenotype.
Chromatinized protein kinase C-θ directly regulates inducible genes in epithelial to mesenchymal transition and breast cancer stem cells.
Cell line, Treatment
View SamplesGene signatures were derived to separate responders from nonresponders by tipifarnib treatment.
Identification of molecular predictors of response in a study of tipifarnib treatment in relapsed and refractory acute myelogenous leukemia.
Sex, Age
View SamplesWe have here followed the transcriptional effect of stimulation with the phorbol ester PMA in mouse fibroblasts from HP1gamma null mice recomplemented with either wild-type HP1gamma or an HP1g with an S83A mutation Overall design: Spontaneously immortalized mouse embryonic fibroblasts from HP1gamma null mice were used to stably integrate either an empty expression vector, or expression vectors for either WT or S83A mutant HP1gamma. These cells were then stimulated with PMA for 0 or 60 min. and used for transcriptome analysis by Next Generation sequencing.
Shigella flexneri targets the HP1γ subcode through the phosphothreonine lyase OspF.
No sample metadata fields
View SamplesEarly innate lymphoid progenitors (EILP) have recently been identified in the mouse adult bone marrow as a multipotential progenitor population committed to ILC lineages, but their relationship with other described ILC progenitors is still unclear. In this study, we examine the progenitor-successor relationships between EILP, IL-7R+ common lymphoid progenitors (ALP), and ILC precursors (ILCp). Bioinformatic, phenotypical, functional, and genetic approaches collectively establish EILP as an intermediate progenitor between ALP and ILCp. Our work additionally provides new candidate regulators of ILC development and clearly defines the stage of requirement of transcription factors key for early ILC development. Overall design: transcriptional profiling of early ILC progenitors (EILP, ILCp), and common lymphoid progenitors (ALP) was performed by RNA sequencing
Development and differentiation of early innate lymphoid progenitors.
Specimen part, Cell line, Subject
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